We are looking for a Senior Simulation Software Engineer to build and scale the simulation infrastructure that powers our autonomous vehicle development. You will architect simulation pipelines, leverage AI agentic workflows to analyze simulation results, and drive improvements in simulation fidelity to validate autonomy systems and enable critical program milestones. This role offers the opportunity to drive immediate user value while building advanced, AI-powered frameworks for long-term safety validation.
ResponsibilitiesDesign and build AI agentic workflows that automatically analyze simulation results, identify failures, and surface root causes across large-scale test runs, translating them into actionable insights for engineering teams.
Architect and build scalable simulation pipelines, including the metric evaluation framework, and conduct in-depth analysis of road test and simulation data to identify trends, anomalies, and key performance indicators that enhance model accuracy and validate autonomy performance.
Identify, quantify, and reduce sources of divergence between simulation and real-world behavior, leveraging AI and data-driven techniques to increase simulation fidelity across actor behaviors, sensor models, and system dynamics.
Monitor and improve the performance, scalability, testing, and reliability of the platform.
Collaborate with cross-disciplinary teams—including simulation, onboard, systems engineering, and data science—to reproduce and resolve issues encountered during real-world road tests.
Work with other engineers to design the long-term architecture of the system.
Ensure that technical work meets customer requirements, regulatory standards, and company quality policies, in accordance with the company's Quality Management System (QMS), and contribute to continuous improvement efforts.
Required Skills:
MS with 3+ years of relevant experience, or a PhD new grad, in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.
Experience building LLM-powered or agentic workflows for data analysis, evaluation, or automation.
Experience quantifying or improving simulation fidelity / closing the sim-to-real gap (e.g., sensor modeling, actor behavior modeling, scenario generation).
Proficient in Python or C++, with experience building scalable data processing systems or evaluation frameworks.
Ability to solve open-ended technical challenges.
Excellent communication skills and the ability to collaborate effectively in a team setting.
Preferred Skills:
Experience with autonomous vehicle or robotics simulation and related concepts.
Familiarity with LLM agent frameworks (e.g., LangChain, LangGraph, or similar) and prompt/tool-orchestration patterns.
Experience developing metrics, user-facing APIs, or interfaces between system components.
Skills Required
- MS with 3+ years experience or PhD new grad in mechanical, electrical, aerospace engineering, physics, computer science, or related field.
- Experience building LLM-powered or agentic workflows for data analysis, evaluation, or automation.
- Experience quantifying or improving simulation fidelity / closing the sim-to-real gap (sensor modeling, actor behavior modeling, scenario generation).
- Proficient in Python or C++, with experience building scalable data processing systems or evaluation frameworks.
- Ability to solve open-ended technical challenges.
- Excellent communication skills and ability to collaborate effectively in a team.
- Experience with autonomous vehicle or robotics simulation and related concepts.
- Familiarity with LLM agent frameworks (e.g., LangChain, LangGraph) and prompt/tool-orchestration patterns.
- Experience developing metrics, user-facing APIs, or interfaces between system components.
Plus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Plus and has not been reviewed or approved by Plus.
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Leave & Time Off Breadth — Unlimited PTO in addition to company holidays and flexible work arrangements are offered, indicating broad time-off flexibility. This setup signals strong support for taking time away from work.
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Healthcare Strength — Tiered medical, dental, and vision options allow employees to select coverage that fits their needs. This breadth of core health coverage aligns with a comprehensive benefits approach.
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Wellbeing & Lifestyle Benefits — Daily catered lunches at key offices and company-sponsored professional development add meaningful day-to-day and growth-oriented perks. These offerings enhance overall wellbeing and workplace experience.
Plus Insights
What We Do
Plus is a global provider of highly automated driving and fully autonomous driving solutions. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus's customers are already operating its product on the road today. Working with one of the largest companies in the U.S., vehicle manufacturers and others, Plus is making transportation safer and greener. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Insider, Consumer Electronics Show, AUVSI, and others. For more information, visit www.plus.ai
